Materials Informatics 101 Virtual Course

Event Details
Contact

Cecelia Jones
Georgia Institute of Technology
404.894.7769

Summaries

Summary Sentence: This hands-on workshop will help material scientists use programming-based informatics tools to create reproducible data workflows, automate tedious data extraction, visualize data for exploration, and apply AI/ML models for predictive capabilities.

Full Summary: No summary paragraph submitted.

Materials Informatics 101 Virtual Course

Friday, October 8, 2021 | 9:00 AM EST - Monday, October 11, 2021 | 4:00 PM EST
Location: Virtual Via Georgia Tech Zoom | Cost: $10 Administrative Fee

Course Description: Informatics is the use of computational tools (e.g. AI, machine learning) to access and make sense of data. Materials Informatics has the potential to accelerate scientific inquiry and support novel insights. However, informatics tools are typically marketed to the biological sciences, financial sector, and “Big Tech”---it is not immediately clear how to use “cat-detector technology” to support serious materials science! This hands-on workshop will help material scientists use programming-based informatics tools to create reproducible data workflows, automate tedious data extraction, visualize data for exploration, and apply AI/ML models for predictive capabilities.

Topics Covered: (Coding) Python & Jupyter notebooks; (Data extraction) Tabula, WebPlotDigitizer; (Data handling) Pandas / Grama; (Visualization) Plotnine / Plotly; (Modeling) Over/under-fitting, cross-validation, domain of applicability, active learning.

Register at: https://tinyurl.com/DataMats101

Additional Information

In Campus Calendar
Yes
Groups

College of Sciences, Georgia Tech Materials Institute, Institute for Data Engineering and Science, Institute for Electronics and Nanotechnology, NanoTECH

Invited Audience
Faculty/Staff, Postdoc, Graduate students, Undergraduate students
Categories
Career/Professional development, Training/Workshop
Keywords
go-imat, go-data, Materials Engineering, data informatics, data visualization, data modeling
Status
  • Created By: Christa Ernst
  • Workflow Status: Published
  • Created On: Sep 8, 2021 - 1:16pm
  • Last Updated: Sep 8, 2021 - 1:16pm